Amod Kumar Lal
Papers
1
Total Citations
2
H-Index
1
About
Amod Kumar Lal’s research lies at the intersection of artificial intelligence, multiagent systems, and medical robotics, with a particular focus on telesurgery. His most cited work, “A Multiagent Planning Approach to Model a Tele-Surgery Domain” (2013), addresses a critical challenge: making telesurgery systems more accessible and affordable. By modeling the surgical workflow as a multiagent planning problem, Lal proposed a framework where autonomous agents coordinate tasks between a human surgeon and a robotic assistant, reducing the need for expensive, fully integrated systems. This contribution has garnered 2 citations, reflecting its niche but foundational role in the field. Lal’s work is notable for its practical orientation—aiming to lower barriers to telemedicine adoption in resource-limited settings. While his citation count is modest, his research demonstrates foresight in tackling cost and scalability issues that remain central to telesurgery today. For students and researchers exploring AI-driven healthcare, Lal’s approach offers a valuable case study in applying multiagent planning to real-world medical challenges.
Research Focus
Key Achievements
Top Papers
- 1A Multiagent Planning Approach to Model a Tele-Surgery Domain2 citations · 2013